Yuntao Shou

Orcid: 0000-0003-3270-6238

According to our database¹, Yuntao Shou authored at least 25 papers between 2022 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2025

Masked contrastive graph representation learning for age estimation.

[BibT_eX]

[DOI]

Pattern Recognit., 2025

2024

A multi-view mask contrastive learning graph convolutional neural network for age estimation.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., November, 2024

A multi-message passing framework based on heterogeneous graphs in conversational emotion recognition.

[BibT_eX]

[DOI]

Neurocomputing, February, 2024

Masked Graph Learning With Recurrent Alignment for Multimodal Emotion Recognition in Conversation.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Adversarial alignment and graph fusion via information bottleneck for multimodal emotion recognition in conversations.

[BibT_eX]

[DOI]

Inf. Fusion, 2024

Edge-enhanced minimum-margin graph attention network for short text classification.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

SEG:Seeds-Enhanced Iterative Refinement Graph Neural Network for Entity Alignment.

[BibT_eX]

[DOI]

CoRR, 2024

Graph Contrastive Learning via Cluster-refined Negative Sampling for Semi-supervised Text Classification.

[BibT_eX]

[DOI]

CoRR, 2024

MCSFF: Multi-modal Consistency and Specificity Fusion Framework for Entity Alignment.

[BibT_eX]

[DOI]

CoRR, 2024

SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive Samples.

[BibT_eX]

[DOI]

Yuntao Shou

Xiangyong Cao

Deyu Meng

CoRR, 2024

Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck.

[BibT_eX]

[DOI]

Yuntao Shou

Haozhi Lan

Xiangyong Cao

CoRR, 2024

Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations.

[BibT_eX]

[DOI]

CoRR, 2024

Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum.

[BibT_eX]

[DOI]

CoRR, 2024

Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Adversarial Representation with Intra-Modal and Inter-Modal Graph Contrastive Learning for Multimodal Emotion Recognition.

[BibT_eX]

[DOI]

CoRR, 2023

DER-GCN: Dialogue and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialogue Emotion Recognition.

[BibT_eX]

[DOI]

CoRR, 2023

Deep Imbalanced Learning for Multimodal Emotion Recognition in Conversations.

[BibT_eX]

[DOI]

CoRR, 2023

A Comprehensive Survey on Multi-modal Conversational Emotion Recognition with Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Graph Information Bottleneck for Remote Sensing Segmentation.

[BibT_eX]

[DOI]

Yuntao Shou

Wei Ai

Tao Meng

CoRR, 2023

CZL-CIAE: CLIP-driven Zero-shot Learning for Correcting Inverse Age Estimation.

[BibT_eX]

[DOI]

CoRR, 2023

A Low-rank Matching Attention based Cross-modal Feature Fusion Method for Conversational Emotion Recognition.

[BibT_eX]

[DOI]

CoRR, 2023

Masked Contrastive Graph Representation Learning for Age Estimation.

[BibT_eX]

[DOI]

Yuntao Shou

Xiangyong Cao

Deyu Meng

CoRR, 2023

GraphUnet: Graph Make Strong Encoders for Remote Sensing Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

A Two-Stage Multimodal Emotion Recognition Model Based on Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

2022

Conversational emotion recognition studies based on graph convolutional neural networks and a dependent syntactic analysis.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Yuntao Shou

Timeline

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